# Amazon SageMaker JumpStart Foundation Models
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Amazon SageMaker JumpStart offers state-of-the-art foundation models for use cases such as content writing, code generation, question answering, copywriting, summarization, classification, information retrieval, and more. Use JumpStart foundation models to build your own generative AI solutions and integrate custom solutions with additional SageMaker AI features. For more information, see [Getting started with Amazon SageMaker JumpStart](https://aws.amazon.com/sagemaker/jumpstart/getting-started/).

A foundation model is a large pre-trained model that is adaptable to many downstream tasks and often serves as the starting point for developing more specialized models. Examples of foundation models include LLaMa-3-70b, BLOOM 176B, FLAN-T5 XL, or GPT-J 6B, which are pre-trained on massive amounts of text data and can be fine-tuned for specific language tasks. 

Amazon SageMaker JumpStart onboards and maintains publicly available foundation models for you to access, customize, and integrate into your machine learning lifecycles. For more information, see [Publicly available foundation models](jumpstart-foundation-models-latest.md#jumpstart-foundation-models-latest-publicly-available). Amazon SageMaker JumpStart also includes proprietary foundation models from third-party providers. For more information, see [Proprietary foundation models](jumpstart-foundation-models-latest.md#jumpstart-foundation-models-latest-proprietary).

To get started exploring and experimenting with available models, see [JumpStart foundation model usage](jumpstart-foundation-models-use.md). All foundation models are available to use programmatically with the SageMaker Python SDK. For more information, see [Use foundation models with the SageMaker Python SDK](jumpstart-foundation-models-use-python-sdk.md).

For more information on considerations to make when choosing a model, see [Model sources and license agreements](jumpstart-foundation-models-choose.md).

For specifics about customization and fine-tuning foundation models, see [Foundation model customization](jumpstart-foundation-models-customize.md). 

For more general information on foundation models, see the paper [On the Opportunities and Risks of Foundation Models](https://arxiv.org/abs/2108.07258).

**Topics**
+ [Available foundation models](jumpstart-foundation-models-latest.md)
+ [JumpStart foundation model usage](jumpstart-foundation-models-use.md)
+ [Model sources and license agreements](jumpstart-foundation-models-choose.md)
+ [Foundation model customization](jumpstart-foundation-models-customize.md)
+ [Evaluate a text generation foundation model in Studio](jumpstart-foundation-models-evaluate.md)
+ [Example notebooks](jumpstart-foundation-models-example-notebooks.md)